We conduct entity linking experiments on standard benchmark datasets: AIDA-CoNLL and five out-domain test sets. Our model achieves an absolute improvement of 1.32% F1 on AIDA-CoNLL test set and average 0.80% F1 on five out-domain test sets over five different runs. In addition, we conduct detailed experiment analysis on AIDA-CoNLL development set which shows our proposed model can reduce 67.03% type errors of the state-of-the-art model [1]} and more than 90% of the remaining type error cases are due to over estimation of prior and global modeling problem which we leave as the further work.
